Modeling Uncertainty with Fuzzy Logic

Language: English

Published by Springer, Springer Okt 2010, 2010

3642100635 / 9783642100635

Series: Book 49 of 183 - Studies in Fuzziness and Soft Computing

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This item is printed on demand - Print on Demand Titel. Neuware -The world we live in is pervaded with uncertainty and imprecision. Is it likely to rain this afternoon Should I take an umbrella with me Will I be able to find parking near the campus Should I go by bus Such simple questions are a c- mon occurrence in our daily lives. Less simple examples: What is the probability that the price of oil will rise sharply in the near future Should I buy Chevron stock What are the chances that a bailout of GM, Ford and Chrysler will not s- ceed What will be the consequences Note that the examples in question involve both uncertainty and imprecision. In the real world, this is the norm rather than exception. There is a deep-seated tradition in science of employing probability theory, and only probability theory, to deal with uncertainty and imprecision. The mon- oly of probability theory came to an end when fuzzy logic made its debut. H- ever, this is by no means a widely accepted view. The belief persists, especially within the probability community, that probability theory is all that is needed to deal with uncertainty. To quote a prominent Bayesian, Professor Dennis Lindley, ¿The only satisfactory description of uncertainty is probability.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 448 pp. Englisch.

Seller Inventory # 9783642100635

Title
Modeling Uncertainty with Fuzzy Logic
Author
Asli Celikyilmaz
Publisher
Springer, Springer Okt 2010
Publication year
2010
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3642100635
ISBN 13
9783642100635
Item weight
674 grams
Dimensions
235x155x25 mm
Series
Book 49 of 183: Studies in Fuzziness and Soft Computing

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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